AdvOcl: Naturalistic Clothing Pattern Adversarial to Person Detectors in Occlusion-Reference-Cited by-同舟云学术

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AdvOcl: Naturalistic Clothing Pattern Adversarial to Person Detectors in Occlusion

Published:2024-06-24 Issue: Volume: Page:165-174
ISSN:
Container-title:Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security
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Author:

Lu Zhitong¹^ORCID,Ma Duohe²^ORCID,Fan Linna³^ORCID,Xu Zhen²^ORCID,Chen Kai²^ORCID

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China & School of Cyber Security, Chinese Academy of Sciences, Beijing, China

2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

3. College of Information and Communication, National University of Defense Technology, Changsha, Hunan, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3658664.3659630

Reference54 articles.

1. Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey

2. Anish Athalye, Logan Engstrom, Andrew Ilyas, and Kevin Kwok. 2018. Synthesizing Robust Adversarial Examples. In Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsm"a ssan, Stockholm, Sweden, July 10--15, 2018 (Proceedings of Machine Learning Research, Vol. 80), Jennifer G. Dy and Andreas Krause (Eds.). PMLR, 284--293. http://proceedings.mlr.press/v80/athalye18b.html

3. Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. CoRR , Vol. abs/2004.10934 (2020). showeprint[arXiv]2004.10934 https://arxiv.org/abs/2004.10934

4. Principal warps: thin-plate splines and the decomposition of deformations

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